Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDeva Ramanan
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[c146]Tarasha Khurana, Peiyun Hu, David Held, Deva Ramanan:
Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting. CVPR 2023: 1116-1124- [c145]Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha:
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. CVPR Workshops 2023: 3318-3327 - [c144]Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu:
3D-aware Conditional Image Synthesis. CVPR 2023: 4434-4445 - [c143]Jeff Tan, Gengshan Yang, Deva Ramanan:
Distilling Neural Fields for Real-Time Articulated Shape Reconstruction. CVPR 2023: 4692-4701 - [c142]Chittesh Thavamani, Mengtian Li, Francesco Ferroni, Deva Ramanan:
Learning to Zoom and Unzoom. CVPR 2023: 5086-5095 - [c141]Haithem Turki, Jason Y. Zhang, Francesco Ferroni, Deva Ramanan:
SUDS: Scalable Urban Dynamic Scenes. CVPR 2023: 12375-12385 - [c140]Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan:
Soft Augmentation for Image Classification. CVPR 2023: 16241-16250 - [c139]Gengshan Yang, Chaoyang Wang, N. Dinesh Reddy, Deva Ramanan:
Reconstructing Animatable Categories from Videos. CVPR 2023: 16995-17005 - [c138]Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljosa Osep, Deva Ramanan:
Pix2Map: Cross-Modal Retrieval for Inferring Street Maps from Images. CVPR 2023: 17514-17523 - [c137]Ali Athar, Alexander Hermans, Jonathon Luiten, Deva Ramanan, Bastian Leibe:
TarViS: A Unified Approach for Target-Based Video Segmentation. CVPR 2023: 18738-18748 - [c136]Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan:
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models. CVPR 2023: 19325-19337 - [c135]Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui:
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. ICML 2023: 3577-3598 - [c134]Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong:
Far3Det: Towards Far-Field 3D Detection. WACV 2023: 692-701 - [c133]Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, Deva Ramanan:
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video. WACV 2023: 1674-1683 - [i108]Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays:
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting. CoRR abs/2301.00493 (2023) - [i107]Ali Athar, Alexander Hermans, Jonathon Luiten, Deva Ramanan, Bastian Leibe:
TarViS: A Unified Approach for Target-based Video Segmentation. CoRR abs/2301.02657 (2023) - [i106]Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljosa Osep, Deva Ramanan:
Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images. CoRR abs/2301.04224 (2023) - [i105]Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan:
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models. CoRR abs/2301.06267 (2023) - [i104]Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu:
3D-aware Conditional Image Synthesis. CoRR abs/2302.08509 (2023) - [i103]Tarasha Khurana, Peiyun Hu, David Held, Deva Ramanan:
Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting. CoRR abs/2302.13130 (2023) - [i102]Haithem Turki, Jason Y. Zhang, Francesco Ferroni, Deva Ramanan:
SUDS: Scalable Urban Dynamic Scenes. CoRR abs/2303.14536 (2023) - [i101]Chittesh Thavamani, Mengtian Li, Francesco Ferroni, Deva Ramanan:
Learning to Zoom and Unzoom. CoRR abs/2303.15390 (2023) - [i100]Nathaniel Chodosh, Deva Ramanan, Simon Lucey:
Re-Evaluating LiDAR Scene Flow for Autonomous Driving. CoRR abs/2304.02150 (2023) - [i99]Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan:
Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. CoRR abs/2304.12317 (2023) - [i98]John Z. Zhang, Shuo Yang, Gengshan Yang, Arun L. Bishop, Deva Ramanan, Zachary Manchester:
SLoMo: A General System for Legged Robot Motion Imitation from Casual Videos. CoRR abs/2304.14389 (2023) - [i97]Amy Lin, Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani:
RelPose++: Recovering 6D Poses from Sparse-view Observations. CoRR abs/2305.04926 (2023) - [i96]Erica Weng, Hana Hoshino, Deva Ramanan, Kris Kitani:
Joint Metrics Matter: A Better Standard for Trajectory Forecasting. CoRR abs/2305.06292 (2023) - [i95]Gengshan Yang, Chaoyang Wang, N. Dinesh Reddy, Deva Ramanan:
Reconstructing Animatable Categories from Videos. CoRR abs/2305.06351 (2023) - [i94]Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha:
WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. CoRR abs/2305.07528 (2023) - [i93]Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays:
ZeroFlow: Fast Zero Label Scene Flow via Distillation. CoRR abs/2305.10424 (2023) - [i92]Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan:
VisualGPTScore: Visio-Linguistic Reasoning with Multimodal Generative Pre-Training Scores. CoRR abs/2306.01879 (2023) - [i91]Nadine Chang, Francesco Ferroni, Michael J. Tarr, Martial Hebert, Deva Ramanan:
Thinking Like an Annotator: Generation of Dataset Labeling Instructions. CoRR abs/2306.14035 (2023) - [i90]Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan:
An Empirical Analysis of Range for 3D Object Detection. CoRR abs/2308.04054 (2023) - [i89]Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liang-Yan Gui:
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. CoRR abs/2308.09105 (2023) - [i88]Jonathon Luiten, Georgios Kopanas, Bastian Leibe, Deva Ramanan:
Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis. CoRR abs/2308.09713 (2023) - [i87]Samuel Yu, Shihong Liu, Zhiqiu Lin, Deepak Pathak, Deva Ramanan:
Language Models as Black-Box Optimizers for Vision-Language Models. CoRR abs/2309.05950 (2023) - 2022
- [c132]Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong:
Towards Long-Tailed 3D Detection. CoRL 2022: 1904-1915 - [c131]Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo:
BANMo: Building Animatable 3D Neural Models from Many Casual Videos. CVPR 2022: 2853-2863 - [c130]Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe
:
HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images. CVPR 2022: 3012-3021 - [c129]Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Long- Tailed Recognition via Weight Balancing. CVPR 2022: 6887-6897 - [c128]Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan:
Depth-supervised NeRF: Fewer Views and Faster Training for Free. CVPR 2022: 12872-12881 - [c127]Haithem Turki, Deva Ramanan, Mahadev Satyanarayanan:
Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly- Throughs. CVPR 2022: 12912-12921 - [c126]Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan:
Forecasting from LiDAR via Future Object Detection. CVPR 2022: 17181-17190 - [c125]Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljosa Osep, Laura Leal-Taixé:
Opening up Open World Tracking. CVPR 2022: 19023-19033 - [c124]Yi-Ting Chen, Jinghao Shi, Zelin Ye, Christoph Mertz, Deva Ramanan, Shu Kong:
Multimodal Object Detection via Probabilistic Ensembling. ECCV (9) 2022: 139-158 - [c123]Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan:
Differentiable Raycasting for Self-Supervised Occupancy Forecasting. ECCV (38) 2022: 353-369 - [c122]Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani:
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild. ECCV (31) 2022: 592-611 - [c121]Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep:
Learning to Discover and Detect Objects. NeurIPS 2022 - [c120]Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Continual Learning with Evolving Class Ontologies. NeurIPS 2022 - [i86]Zhiqiu Lin, Jia Shi, Deepak Pathak, Deva Ramanan:
The CLEAR Benchmark: Continual LEArning on Real-World Imagery. CoRR abs/2201.06289 (2022) - [i85]Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Long-Tailed Recognition via Weight Balancing. CoRR abs/2203.14197 (2022) - [i84]Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan:
Forecasting from LiDAR via Future Object Detection. CoRR abs/2203.16297 (2022) - [i83]Joshua Spisak, Andrew Saba, Nayana Suvarna, Brian Mao, Chuan Tian Zhang, Chris Chang, Sebastian A. Scherer, Deva Ramanan:
Robust Modeling and Controls for Racing on the Edge. CoRR abs/2205.10841 (2022) - [i82]Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe:
Differentiable Soft-Masked Attention. CoRR abs/2206.00182 (2022) - [i81]Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani:
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild. CoRR abs/2208.05963 (2022) - [i80]Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, Deva Ramanan:
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video. CoRR abs/2209.12118 (2022) - [i79]Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan:
Differentiable Raycasting for Self-supervised Occupancy Forecasting. CoRR abs/2210.01917 (2022) - [i78]Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Learning with an Evolving Class Ontology. CoRR abs/2210.04993 (2022) - [i77]Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep:
Learning to Discover and Detect Objects. CoRR abs/2210.10774 (2022) - [i76]Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan:
Soft Augmentation for Image Classification. CoRR abs/2211.04625 (2022) - [i75]Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong:
Towards Long-Tailed 3D Detection. CoRR abs/2211.08691 (2022) - [i74]Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong:
Far3Det: Towards Far-Field 3D Detection. CoRR abs/2211.13858 (2022) - 2021
- [c119]Gengshan Yang, Deva Ramanan:
Learning To Segment Rigid Motions From Two Frames. CVPR 2021: 1266-1275 - [c118]Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian:
Background Splitting: Finding Rare Classes in a Sea of Background. CVPR 2021: 8043-8052 - [c117]Peiyun Hu, Aaron Huang, John M. Dolan, David Held, Deva Ramanan:
Safe Local Motion Planning With Self-Supervised Freespace Forecasting. CVPR 2021: 12732-12741 - [c116]Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu:
LASR: Learning Articulated Shape Reconstruction From a Monocular Video. CVPR 2021: 15980-15989 - [c115]Shu Kong, Deva Ramanan:
OpenGAN: Open-Set Recognition via Open Data Generation. ICCV 2021: 793-802 - [c114]Tarasha Khurana, Achal Dave, Deva Ramanan:
Detecting Invisible People. ICCV 2021: 3154-3164 - [c113]Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian:
Learning Rare Category Classifiers on a Tight Labeling Budget. ICCV 2021: 8403-8412 - [c112]Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt:
Do Image Classifiers Generalize Across Time? ICCV 2021: 9641-9649 - [c111]Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian:
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. ICCV 2021: 10685-10694 - [c110]Chittesh Thavamani, Mengtian Li, Nicolas Cebron, Deva Ramanan:
FOVEA: Foveated Image Magnification for Autonomous Navigation. ICCV 2021: 15519-15528 - [c109]Kangle Deng, Aayush Bansal, Deva Ramanan:
Unsupervised Audiovisual Synthesis via Exemplar Autoencoders. ICLR 2021 - [c108]Zhiqiu Lin, Jia Shi, Deepak Pathak, Deva Ramanan:
The CLEAR Benchmark: Continual LEArning on Real-World Imagery. NeurIPS Datasets and Benchmarks 2021 - [c107]Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays:
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting. NeurIPS Datasets and Benchmarks 2021 - [c106]Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Ce Liu, Deva Ramanan:
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. NeurIPS 2021: 19326-19338 - [c105]Jason Y. Zhang, Gengshan Yang, Shubham Tulsiani, Deva Ramanan:
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild. NeurIPS 2021: 29835-29847 - [i73]Gengshan Yang, Deva Ramanan:
Learning to Segment Rigid Motions from Two Frames. CoRR abs/2101.03694 (2021) - [i72]Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross B. Girshick:
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. CoRR abs/2102.01066 (2021) - [i71]Kevin Wang, Deva Ramanan, Aayush Bansal:
Video Exploration via Video-Specific Autoencoders. CoRR abs/2103.17261 (2021) - [i70]Yi-Ting Chen, Jinghao Shi, Christoph Mertz, Shu Kong, Deva Ramanan:
Multimodal Object Detection via Bayesian Fusion. CoRR abs/2104.02904 (2021) - [i69]Shu Kong, Deva Ramanan:
OpenGAN: Open-Set Recognition via Open Data Generation. CoRR abs/2104.02939 (2021) - [i68]Zhiqiu Lin, Deva Ramanan, Aayush Bansal:
Streaming Self-Training via Domain-Agnostic Unlabeled Images. CoRR abs/2104.03309 (2021) - [i67]Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Aljosa Osep, Deva Ramanan, Bastian Leibe, Laura Leal-Taixé:
Opening up Open-World Tracking. CoRR abs/2104.11221 (2021) - [i66]Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu:
LASR: Learning Articulated Shape Reconstruction from a Monocular Video. CoRR abs/2105.02976 (2021) - [i65]Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan:
Depth-supervised NeRF: Fewer Views and Faster Training for Free. CoRR abs/2107.02791 (2021) - [i64]Chittesh Thavamani, Mengtian Li, Nicolas Cebron, Deva Ramanan:
FOVEA: Foveated Image Magnification for Autonomous Navigation. CoRR abs/2108.12102 (2021) - [i63]Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian:
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. CoRR abs/2109.05720 (2021) - [i62]Jason Y. Zhang, Gengshan Yang, Shubham Tulsiani, Deva Ramanan:
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild. CoRR abs/2110.07604 (2021) - [i61]Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe:
HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images. CoRR abs/2112.09131 (2021) - [i60]Haithem Turki, Deva Ramanan, Mahadev Satyanarayanan:
Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs. CoRR abs/2112.10703 (2021) - [i59]Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo:
BANMo: Building Animatable 3D Neural Models from Many Casual Videos. CoRR abs/2112.12761 (2021) - 2020
- [j19]Peiyun Hu, David Held, Deva Ramanan:
Learning to Optimally Segment Point Clouds. IEEE Robotics Autom. Lett. 5(2): 875-882 (2020) - [c104]Gengshan Yang, Deva Ramanan:
Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion. CVPR 2020: 1331-1340 - [c103]Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa G. Narasimhan:
4D Visualization of Dynamic Events From Unconstrained Multi-View Videos. CVPR 2020: 5365-5374 - [c102]Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan:
What You See is What You Get: Exploiting Visibility for 3D Object Detection. CVPR 2020: 10998-11006 - [c101]Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa:
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild. ECCV (12) 2020: 34-51 - [c100]Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
TAO: A Large-Scale Benchmark for Tracking Any Object. ECCV (5) 2020: 436-454 - [c99]Mengtian Li, Yu-Xiong Wang, Deva Ramanan:
Towards Streaming Perception. ECCV (2) 2020: 473-488 - [c98]Rohit Girdhar, Deva Ramanan:
CATER: A diagnostic dataset for Compositional Actions & TEmporal Reasoning. ICLR 2020 - [c97]Jessica Lee, Deva Ramanan, Rohit Girdhar:
MetaPix: Few-Shot Video Retargeting. ICLR 2020 - [c96]Mengtian Li, Ersin Yumer, Deva Ramanan:
Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints. ICLR 2020 - [c95]William Qi, Ravi Teja Mullapudi, Saurabh Gupta, Deva Ramanan:
Learning to Move with Affordance Maps. ICLR 2020 - [i58]William Qi, Ravi Teja Mullapudi, Saurabh Gupta, Deva Ramanan:
Learning to Move with Affordance Maps. CoRR abs/2001.02364 (2020) - [i57]Kangle Deng, Aayush Bansal, Deva Ramanan:
Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders. CoRR abs/2001.04463 (2020) - [i56]Ligong Han, Robert F. Murphy, Deva Ramanan:
Learning Generative Models of Tissue Organization with Supervised GANs. CoRR abs/2004.00140 (2020) - [i55]Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
TAO: A Large-Scale Benchmark for Tracking Any Object. CoRR abs/2005.10356 (2020) - [i54]Mengtian Li, Yu-Xiong Wang, Deva Ramanan:
Towards Streaming Image Understanding. CoRR abs/2005.10420 (2020) - [i53]Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa G. Narasimhan:
4D Visualization of Dynamic Events from Unconstrained Multi-View Videos. CoRR abs/2005.13532 (2020) - [i52]Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa:
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild. CoRR abs/2007.15649 (2020) - [i51]Siddhesh Khandelwal, William Qi, Jagjeet Singh, Andrew Hartnett, Deva Ramanan:
What-If Motion Prediction for Autonomous Driving. CoRR abs/2008.10587 (2020) - [i50]Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian:
Background Splitting: Finding Rare Classes in a Sea of Background. CoRR abs/2008.12873 (2020) - [i49]Tarasha Khurana, Achal Dave, Deva Ramanan:
Detecting Invisible People. CoRR abs/2012.08419 (2020)
2010 – 2019
- 2019
- [j18]Bailey Kong, James Steven Supancic III, Deva Ramanan, Charless C. Fowlkes:
Cross-Domain Image Matching with Deep Feature Maps. Int. J. Comput. Vis. 127(11-12): 1738-1750 (2019) - [c94]Aayush Bansal, Yaser Sheikh, Deva Ramanan:
Shapes and Context: In-The-Wild Image Synthesis & Manipulation. CVPR 2019: 2317-2326 - [c93]Gengshan Yang, Joshua Manela, Michael Happold, Deva Ramanan:
Hierarchical Deep Stereo Matching on High-Resolution Images. CVPR 2019: 5515-5524 - [c92]Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays:
Argoverse: 3D Tracking and Forecasting With Rich Maps. CVPR 2019: 8748-8757 - [c91]Ishan Nigam, Pavel Tokmakov, Deva Ramanan:
Towards Latent Attribute Discovery From Triplet Similarities. ICCV 2019: 402-410 - [c90]